MindGarden offers a professional research platform that combines AI development tools with EEG data collection, analysis, and real-time brain‑computer interface capabilities. The platform supports multiple devices and provides an intuitive workflow management system, enabling researchers to streamline experiments and perform advanced analytics within a single integrated environment.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers in AI security and neurotechnology often work with fragmented tools—separate hardware interfaces, manual data pipelines, and ad‑hoc analysis scripts—that slow experimentation and hinder reproducibility.
Solution
MindGarden provides a unified research platform that combines AI security analysis with professional‑grade neurotechnology capabilities. The system supports multiple EEG devices (e.g., PiEEG, OpenBCI, Emotiv EPOC) and offers real‑time signal processing, study management, and secure data handling. Integrated AI security modules enable detection of novel LLM vulnerabilities such as meaning injection and symbolic influence, with published detection methodologies and self‑audit pipelines. Researchers can design, execute, and monitor experiments through an intuitive workflow manager that links EEG data collection, AI model interaction logs, and advanced analytics. All results are stored privately with participant‑controlled access, facilitating both exploratory studies and production‑grade brain‑computer interface projects.
Target Audience
Primary users are AI security researchers, academic labs studying human‑AI interaction, and neuroscience teams developing brain‑computer interfaces.
Features
- Multi‑device EEG support with real‑time processing and synchronized data streams
- Intuitive workflow manager for experiment design, execution, and result tracking
- Built‑in AI security tools for meaning injection detection, symbolic influence taxonomy, and model self‑audit
- Secure, privacy‑first data storage with participant‑controlled access and export options
- Advanced analytics suite including signal filtering, feature extraction, and statistical reporting
- SDKs and APIs for custom BCI application development and integration with external AI pipelines